Assigning the Protonation States of the Key Aspartates in β-Secretase Using QM/MM X-ray Structure Refinement
June 07, 2006 Filed In:Xray
Abstract: β-Secretase, aka
β-APP cleaving enzyme (BACE), is an aspartyl
protease that has been implicated as a key target in
the pathogenesis of Alzheimer's disease (AD). The
identification of the protonation states of the key
aspartates in -secretase is of great interest both in
understanding the reaction mechanism and in guiding
the design of drugs against AD. However, the
resolutions of currently available crystal structures
for BACE are not sufficient to determine the hydrogen
atom locations. We have assigned the protonation
states of the key aspartates using a novel method,
QM/MM X-ray refinement. In our approach, an energy
function is introduced to the refinement where the
atoms in the active site are modeled by quantum
mechanics (QM) and the other atoms are represented by
molecular mechanics (MM). The gradients derived from
the QM/MM energy function are combined with those
from the X-ray target to refine the crystal structure
of a complex containing BACE and an inhibitor. A
total number of 8 protonation configurations of the
aspartyl dyad were considered, and QM/MM X-ray
refinements were performed for all of them. The
relative stability of the refined structures was
scored by constructing the thermodynamic cycle using
the energetics calculated by fully quantum mechanical
self-consistent reaction field (QM/SCRF)
calculations. While all 8 refined structures fit the
observed electron density about equally well, we find
the monoprotonated configurations to be strongly
favored energetically, especially the configuration
with the inner oxygen of Asp32 protonated and the
hydroxyl of the inhibitor pointing toward Asp228. It
was also found that these results depend on the
constraints imposed by the X-ray data. We suggest
that one of the strengths of this approach is that
the resulting structures are a consensus of
theoretical and experimental data and remark on the
significance of our results in structure based drug
design and mechanistic studies.
Authors: Ning Yu, Seth A. Hayik, Bing Wang, Ning Liao, Charles H. Reynolds, and Kenneth M. Merz, Jr.
Reference: J. Chem. Theory Comput. 2006, 2(4), 1057-1069. (see link for full paper).
Authors: Ning Yu, Seth A. Hayik, Bing Wang, Ning Liao, Charles H. Reynolds, and Kenneth M. Merz, Jr.
Reference: J. Chem. Theory Comput. 2006, 2(4), 1057-1069. (see link for full paper).